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Author

Gustav Šír

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Open access Sep 2026

Mission‐Aligned Learning‐Informed Control of Autonomous Systems: Formulation and Foundations

Research, innovation and practical capital investment have been increasing rapidly toward the realization of autonomous physical agents. This includes industrial and service robots, unmanned aerial vehicles, embedded control devices, and a number of other realizations of cybernetic/mechatronic implementations of inte...

V. Kungurtsev, Alessandro Di Frenna, Gustav Šír et al. · 0 citations
Preprint Aug 2026

Incremental Evaluation and Training in Relational Deep Learning

Relational Deep Learning (RDL) models multi-tabular databases as temporal heterogeneous graphs to enable end-to-end representation learning. However, prevailing RDL evaluation practices rely on static, single-episode dataset snapshots, overlooking the continuous, time-evolving nature of real-world databases. Consequent...

Jakub Peleška, Gustav Šír · 0 citations
Open access Jul 2026

Deep Learning for Molecular Property Prediction with Logical Background Knowledge

This work proposes an enhanced learning framework that deeply integrates structured logical knowledge within GNN models, and demonstrates that incorporating domain-specific relational knowledge leads to better generalization and robustness compared to standard GNNs.

Kai Hodžić, Gustav Šír · 0 citations
#machine learning Preprint Sep 2026

Relational Task Generation Language: A Declarative Specification Framework for Relational Deep Learning

An open-source declarative language that streamlines RDL task formulation by abstracting away low-level SQL details, RTGL is introduced - an open-source declarative language that streamlines RDL task formulation by abstracting away low-level SQL details.

О. М. Колесниченко, Jakub Peleška, Gustav Šír · 0 citations
Open access Jul 2026

Deep Learning for Molecular Property Prediction with Logical Background Knowledge

This work proposes an enhanced learning framework that deeply integrates structured logical knowledge within GNN models, and demonstrates that incorporating domain-specific relational knowledge leads to better generalization and robustness compared to standard GNNs.

Kai Hodžić, Gustav Šír · 0 citations

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